gb2sμMOD: A MUltiMODal biometric video database using visible and IR light

Abstract In spite of recent efforts in gathering multimodal databases containing a big number of traits, a huge amount of users and covering multiple realistic scenarios, there is still a lack of touch-less realistic samples, video recordings for some traits and the use of infrared cameras which allows, among others, to avoid lighting influence and test recently appeared biometric techniques such as hand vein recognition. For this reason, a new realistic multimodal database composed of 8,160 hand, iris and face videos has been captured. To this end, a total of 60 contributors have participated in three separated acquisition sessions in which three different cameras have been used, covering different ranges of the light spectrum: visible light and two different infrared wavelengths. To simulate real-world working conditions, the database has been recorded in an indoor environment with different lightings and backgrounds. In addition, due to the relevance of performing evaluation experiments in such a way that a reliable comparison of the results can be accomplished, an evaluation protocol is provided at the end of this paper. Moreover, performance results are provided for several biometric traits in mono- and multi- modalities that can be used as a baseline.

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